Instructions to use SkunkworksAI/PlatyPhi-3B with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use SkunkworksAI/PlatyPhi-3B with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("SkunkworksAI/PlatyPhi-3B", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 1b87f4d46e814c5e35d9d671f547aff7ff8ccef38b19ba06d1bd19dcf08ed03a
- Size of remote file:
- 5.25 GB
- SHA256:
- 11c8761301c7734c40c07b3b2ddd97ab70aa664a37e189e0ef356dc25705add8
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.